• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.7 no.30 >Hybrid Committee Classifier for a Computerized Colonic Polyp Detection System
【24h】

Hybrid Committee Classifier for a Computerized Colonic Polyp Detection System

机译：用于计算机化结肠息肉检测系统的混合委员会分类器

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We present a hybrid committee classifier for computer-aided detection (CAD) of colonic polyps in CT colonog-raphy (CTC). The classifier involved an ensemble of support vector machines (SVM) and neural networks (NN) for classification, a progressive search algorithm for selecting a set of features used by the SVMs and a floating search algorithm for selecting features used by the NNs. A total of 102 quantitative features were calculated for each polyp candidate found by a prototype CAD system. 3 features were selected for each of 7 SVM classifiers which were then combined to form a committee of SVMs classifier. Similarly, features (numbers varied from 10-20) were selected for 11 NN classifiers which were again combined to form a NN committee classifier. Finally, a hybrid committee classifier was defined by combining the outputs of both the SVM and NN committees. The method was tested on CTC scans (supine and prone views) of 29 patients, in terms of the partial area under a free response receiving operation characteristic (FROC) curve (AUC). Our results showed that the hybrid committee classifier performed the best for the prone scans and was comparable to other classifiers for the supine scans.
机译：我们提出了一种混合委员会分类器，用于计算机辅助检测（CAD）的CT结肠癌（CTC）中的结肠息肉。分类器包括用于分类的支持向量机（SVM）和神经网络（NN）的集合，用于选择SVM使用的一组特征的渐进搜索算法以及用于选择NN使用的特征的浮动搜索算法。对于通过原型CAD系统发现的每个息肉候选项，总共计算了102个定量特征。为7个SVM分类器中的每一个选择3个功能，然后将其组合以形成SVM分类器委员会。同样，为11个NN分类器选择了特征（数量从10到20不等），然后再次组合以形成NN委员会分类器。最后，通过结合SVM和NN委员会的输出来定义混合委员会分类器。在29名患者的CTC扫描（仰卧位和俯卧位）上测试了该方法的自由反应接受手术特征（FROC）曲线（AUC）下的部分面积。我们的结果表明，混合委员会分类器在俯卧扫描中表现最佳，并且与其他仰卧扫描分类器相当。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号